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Title: Relaxation of a Spiking Mott Artificial Neuron

Abstract

We consider the phenomenon of electric Mott transition (EMT), which is an electrically induced insulator-to-metal transition. Experimentally, it is observed that depending on the magnitude of the electric excitation, the final state may show a short-lived or a long-lived resistance change. We extend a previous model for the EMT to include the effect of local structural distortions through an elastic energy term. We find that by strong electric pulsing, the induced metastable phase may become further stabilized by the electroelastic effect. We present a systematic study of the model by numerical simulations and compare the results to experiments in Mott insulators of the AM4Q8 family. Our work significantly extends the scope of our recently introduced leaky-integrate-and-fire Mott neuron [P. Stoliar et al., Adv. Funct. Mat. 27, 1604740 (2017)] to provide a better insight into the physical mechanism of its relaxation. This is a key feature for future implementations of neuromorphic circuits.

Authors:
; ; ; ; ; ; ;
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC) (United States). Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C); Univ. of California, San Diego, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1566680
DOE Contract Number:  
SC0019273
Resource Type:
Journal Article
Journal Name:
Physical Review Applied
Additional Journal Information:
Journal Volume: 10; Journal Issue: 5; Journal ID: ISSN 2331-7019
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
bio-inspired, charge transport, magnetism and spin physics, quantum information science, mesoscale science, materials and chemistry by design, mesostructured materials, synthesis (novel materials), synthesis (predictive)

Citation Formats

Tesler, Federico, Adda, Coline, Tranchant, Julien, Corraze, Benoit, Janod, Etienne, Cario, Laurent, Stoliar, Pablo, and Rozenberg, Marcelo. Relaxation of a Spiking Mott Artificial Neuron. United States: N. p., 2018. Web. doi:10.1103/physrevapplied.10.054001.
Tesler, Federico, Adda, Coline, Tranchant, Julien, Corraze, Benoit, Janod, Etienne, Cario, Laurent, Stoliar, Pablo, & Rozenberg, Marcelo. Relaxation of a Spiking Mott Artificial Neuron. United States. doi:10.1103/physrevapplied.10.054001.
Tesler, Federico, Adda, Coline, Tranchant, Julien, Corraze, Benoit, Janod, Etienne, Cario, Laurent, Stoliar, Pablo, and Rozenberg, Marcelo. Thu . "Relaxation of a Spiking Mott Artificial Neuron". United States. doi:10.1103/physrevapplied.10.054001.
@article{osti_1566680,
title = {Relaxation of a Spiking Mott Artificial Neuron},
author = {Tesler, Federico and Adda, Coline and Tranchant, Julien and Corraze, Benoit and Janod, Etienne and Cario, Laurent and Stoliar, Pablo and Rozenberg, Marcelo},
abstractNote = {We consider the phenomenon of electric Mott transition (EMT), which is an electrically induced insulator-to-metal transition. Experimentally, it is observed that depending on the magnitude of the electric excitation, the final state may show a short-lived or a long-lived resistance change. We extend a previous model for the EMT to include the effect of local structural distortions through an elastic energy term. We find that by strong electric pulsing, the induced metastable phase may become further stabilized by the electroelastic effect. We present a systematic study of the model by numerical simulations and compare the results to experiments in Mott insulators of the AM4Q8 family. Our work significantly extends the scope of our recently introduced leaky-integrate-and-fire Mott neuron [P. Stoliar et al., Adv. Funct. Mat. 27, 1604740 (2017)] to provide a better insight into the physical mechanism of its relaxation. This is a key feature for future implementations of neuromorphic circuits.},
doi = {10.1103/physrevapplied.10.054001},
journal = {Physical Review Applied},
issn = {2331-7019},
number = 5,
volume = 10,
place = {United States},
year = {2018},
month = {11}
}

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